Before we freak about about __slots__ and structs I think we need hard
evidence that we lose all this memory to Events and Subjects. Attaching
some profiler to the Python VM should sort this out quickly. And why
doesn't Ubuntu show the same symptoms?
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Large requests increase memory usage considerably
Status in Zeitgeist Framework:
Status in Zeitgeist Extensions:
I'm seeing with standalone Sezen that after running it, mem usage of
the zeitgeist-daemon process goes up from ~13MB to ~40MB, this is
understandable as when Sezen is starting, it does one big query where
it asks for everything grouped by most recent subjects and in my case
this returns ~11 thousand events, so the extra 30MB can be explained
by allocating memory for the DBus reply.
Still, my question is whether Zeitgeist should be at mercy of the
applications, where nothing prevents them from spiking the memory
usage of the core process. (I already saw a couple of times zeitgeist
using 80-100MB of memory on my system). Perhaps there's a way to tell
python dbus to free its buffers?
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